DocumentCode
1217353
Title
Lyapunov redesign for structural convergence improvement in adaptive control
Author
Kang, Hoon ; Vachtsevanos, G. ; Lewis, F.L.
Author_Institution
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
35
Issue
2
fYear
1990
fDate
2/1/1990 12:00:00 AM
Firstpage
250
Lastpage
253
Abstract
The relative improvement of the convergence rate in adaptive error models is discussed. It is shown how to improve convergence, positive realness, and robustness by modifying the structure of the error model. The proposed approaches to designing adaptive control algorithms using the Lyapunov method not only improve the rate of convergence but also provide flexibility in choosing nonlinear control inputs. Boundedness of the nonlinear functions of the modified schemes is shown
Keywords
Lyapunov methods; adaptive control; control system synthesis; convergence; Lyapunov method; Lyapunov redesign; adaptive control; adaptive error models; control system synthesis; convergence rate; nonlinear control inputs; positive realness; robustness; structural convergence; Adaptive control; Adaptive filters; Adaptive signal processing; Algorithm design and analysis; Convergence; IIR filters; Signal processing algorithms; Speech processing; Stochastic processes; Stochastic systems;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.45194
Filename
45194
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